TECHNICAL FIELD
[0001] The present invention relates generally to monitoring patient compliance with medication
prescriptions. More particularly, the invention relates to compositions and methods
for monitoring patient compliance using quantitative compliance markers in association
with prescribed medications.
BACKGROUND OF THE INVENTION
[0002] In the fields of human and animal medicine, psychiatry and animal husbandry, insuring
that the patient or animal ingests the proper amount of medicine, hormone or nutrient
to produce a desired effect is a commonly encountered problem. For example, human
research has demonstrated that patients typically ingest only half the amount of medications
prescribed by their physicians. Thus, patients placed on prescribed medication treatment
programs are often monitored. Both subjective and objective methods are used to identify
bothersome symptoms and to implement necessary changes during the course of treatment.
Monitoring generally continues for as long as treatment is provided. For example,
the Hamilton Anxiety Scale can be used to quantify the amount of anxiety remaining
as treatment proceeds for an anxiety-related condition. If the level of residual anxiety
decreases significantly, say from the proper prescription of a benzodiazepine drug,
like diazepam, then the physician and patient can be assured that treatment is efficacious
and should be continued.
[0003] Preferably both quantitative and analytical methods should be used to monitor the
patient on a repetitive basis to insure that the patient is indeed ingesting the prescribed
amounts of medication. Currently, the most common method of monitoring patients for
medication compliance is clinical observation which involves individual counseling
and close personal supervision by physicians. Physicians observe physiological signs
and symptoms such as intoxication, drug withdrawal typically occurring for benzodiazepines,
barbiturates and opioids, or residual signs of illness such as tremor in anxiety,
sighing in depression, and nociception in pain syndromes. Physicians also listen to
patient complaints regarding degree of pain relief and evaluate psychological changes
over time. This method however is time consuming, expensive and highly subjective.
Needless to say, it is fraught with potential errors.
[0004] Additional compliance information can be obtained using qualitative urine monitoring
methods such as the standard laboratory procedure called enzyme-multiplied immunoassay
(EMIT). Utilizing an arbitrary cutoff value, these methods provide the clinician with
a simple positive or negative indication of the possible presence or absence of a
parent drug or its metabolites in a patient's urine. The parent drug is the prescribed
medication itself and the metabolites are those chemical derivatives of the medication
which naturally occur upon the patient's body metabolizing the medication. These tests
do not provide information concerning the time or amount of last drug use or whether
or not the prescribed dose of medication was ingested properly, diverted or supplemented.
This type of testing fails to provide any indication as to the actual quantity of
drug ingested.
[0005] Physicians utilizing only clinical evaluation and qualitative urine drug screening
test results may develop problems in their treatment methods. Such is often the case
in treating patients who have become biochemically dependent upon opioids either through
prescription or illegal use. Opioid addicts experience great difficulty eliminating
their dependency upon such drugs and typically enter into extended rehabilitative
treatment programs which utilize prescribed methadone dosages to eliminate opioid
dependency. For example, physicians must effectively assess the condition of patients
on methadone maintenance programs in order to adjust dosages and monitor compliance.
If a patient is continually testing positive for opioids or complains of continuing
subjective opioid withdrawal symptoms, a physician may conclude that the currently
prescribed dose of methadone is not sufficient to curb the body's desire for opioids
and may increase the prescribed dosage. This highly subjective monitoring method can
result in over-medication with patients being given more methadone than they require,
creating an unnecessary reliance on methadone. Alternately, physicians sometimes conclude,
erroneously, that a patient's methadone dose is sufficient to prevent opioid withdrawal
and drug cravings and deny the patient a further increase sufficient to stop illicit
opioid use. Such action can expose the patient to further intravenous drug use and
the associated negative social and medical consequences which can follow such as HIV,
hepatitis, and blood poisoning.
[0006] Similar problems with treatment may arise for patients prescribed diazepam for longstanding
generalized anxiety. Patients may not show improvement in their condition even though
this therapy is known to be highly efficient. This medication is a member of the sedative-hypnotic
family of benzodiazepines which have been clinically shown to cause sedation, hypnosis,
decreased anxiety, muscle relaxation, anterograde amnesia and anticonvulsant activity.
A patient, for example, may insist that he or she is ingesting the medication as prescribed,
and yet claim no significant improvement in symptomology. The physician suspects that
the patient is not ingesting the medication properly and perhaps is selling it, and
orders a qualitative urine drug screen to verify compliance. The screen is reported
as positive at greater than 200 ng/ml drug concentration. Since some benzodiazepine
is present the physician assumes, incorrectly, that the patient is compliant, but
will require additional medication and increases the daily dose. In truth, the patient
is diverting the majority of his or her dose to the illicit market and only ingesting
enough drug to test positive on the drug screen.
[0007] Patients also commonly visit multiple physicians to obtain similar medication for
self-ingestion. These patients desire the intoxicating effects of the medication,
but are unable to obtain sufficient quantities from a single source. Qualitative tests
like the EMIT are generally not useful in detecting this situation since the quantitative
amount of medication concentration in the body is not measured.
[0008] Another monitoring method sometimes used, though most often only in research centers,
is direct measurement of parent drug concentrations or active metabolites concentrations
of the drug in plasma. This method has been particularly useful to eliminate illicit
opioid use of patients on methadone maintenance programs. It is known from analytical
studies using venous blood samples obtained from stable patients that plasma methadone
concentrations ranging from 150 - 600 ng/ml are necessary. This direct method of testing
is not very practical since it requires the use of time consuming, expensive, and
highly technical analytical procedures such as high pressure liquid chromatography
and gas chromatography/ mass spectrometry since active and inactive metabolites must
be quantified separately. Additionally, for many patients the obtaining of plasma
samples is invasive, offensive and difficult due to inadequate venous access. Medical
professionals must also be concerned about their own health safety in doing this since
they are exposed to blood products from patient groups which can have a high prevalence
of hepatitis and HIV infection. Therefore, such procedures are primarily conducted
in research centers and not generally utilized in standard maintenance programs.
[0009] Another problem commonly encountered by pharmaceutical companies occurs whenever
they are comparing the clinical efficacy of a potential, new medication versus a placebo.
For example, in clinical trials new medications appear to be two to three times as
effective as a placebo, i.e., placebo response rates can range from 20-30% while drug
response rates range from 60-80%. One explanation for why new medications are not
more effective is that many test subjects are not taking their prescribed doses. The
end result is that many medications with undesirable side-effects, as formulated for
the study, may appear not to be efficacious and be inappropriately dropped from research
only because subjects are not ingesting sufficient drug to observe the desired effects.
Other medications may end up being clinically prescribed at higher doses than necessary,
increasing morbidity and mortality, because the researchers think the subjects are
taking more medication than they actually are.
[0010] Researchers have proposed several solutions to this problem. For instance, drug compliance
in a research setting has been monitored by counting the residual pills remaining
following a course of treatment. In this regard the use of a tablet container which
incorporates a recorder that records each opening of the container is described in
the scientific literature. However, the technique of residual pill counting is not
necessarily indicative of pill ingestion.
[0011] Another method of drug compliance monitoring which is disclosed in scientific literature
involves adding secondary substances to medication which presence can be qualitatively
detected in blood work and other bodily fluids. In this regard, some researchers have
added ingredients like riboflavin to pills and looked for the ingredient in the patient's
serum, urine, or feces. However, testing serum necessitates additional labor and care
since it requires a blood sample to be taken. Furthermore, since ingredients like
riboflavin are commonly found in food, beverage, and multivitamins, they are normally
also present in urine independent of any supplemented riboflavin. The normal presence
of such ingredients in the urine therefore leads to false positive readings during
testing. Additionally, no accurate relationship has been determined between the presence
of these markers in the urine and the amount of medication taken.
[0012] As an alternative solution, researchers have added relatively harmless amounts of
a second medication to pills for this purpose. However, the addition of this type
of ingredient again only indicates that patients are taking some pills. Depending
on the half-life of these secondary medications, researchers may only be able to tell
if the patient ingested the medication recently. Furthermore, research with "second
medication" type markers has focused on serum testing for verification.
[0013] While methods now exist for determining compliance using quantitative urine monitoring
that are useful for insuring that patients are obtaining adequate body levels of specific
drugs, as disclosed in the applications earlier cited, these methods require the development
of specific analytical methods tailored for measuring each specific drug and its metabolites.
Often these methods are not available in a clinically useful manner in the early development
of new drugs.
[0014] US 5,547,878 discloses a method of monitoring compliance of a patient that has been
placed on a medication maintenance program with a prescribed medication dosage by
determining a normalized urine methadone concentration. An unadulterated urine sample
is obtained from the patient. The urine methadone concentration and urine specific
gravity are measured. The normalized urine medication concentration is calculated
as a function of the measured medication concentration in the urine and the urine
specific gravity. The calculated normalized urine medication concentration is compared
with an expected medication concentration value for the patient for the maintenance
program prescribed to determine any significant differences therebetween as an indication
of non compliance.
[0015] US 5,547,878 also discloses that alternatively, a urinary-parameter normalized urine
medication concentration is calculated as a function of the measured medication concentration
in the urine, the urine specific gravity and at least one selected pharmacokinetic
parameter of the medication. The calculated urinary-parameter normalized urine medication
concentration is compared with an expected medication concentration value for an average
complaint patient for the maintenance program prescribed to determine any significant
differences therebetween as an indication of noncompliance.
[0016] While providing useful information relative to patient status and treatment compliance,
the clinical monitoring methods described above, i.e. clinical interviews with patients,
direct plasma drug measurement, qualitative urine drug screening, residual tablet
counting, and quantitative urine drug screening for each drug ingested, each have
distinct drawbacks which limit their usefulness in experiments and treatment plans.
Therefore, it is seen that a need remains for a predictable method of monitoring patients
who have been placed on potentially abusable and dangerous maintenance medications
or new experimental drugs for compliance therewith. A need remains for a method of
monitoring drug ingestion which is not invasive to the patient and which does not
require a predetermined mathematical relationship specific for each drug being monitored.
To help prevent continued medication misuse and better optimize patient medication
dose, it would be advantageous for patients to have a facile bodily fluid, such as
urine, regularly and quantitatively monitored for the presence of the medication.
It would be further desirable not to have to rely on the distinctive pharmacokinetics
of each medication in such monitoring but on the pharmacokinetics of only a standard
compliance marker or a series of compliance markers. Such a monitoring method would
help physicians both in prescribing adequate doses of medication and in monitoring
patients to insure that they were ingesting the prescribed amounts. Obtaining a fluid
sample like urine would not be invasive to the patient or a safety risk to the health
care provider.
[0017] Accordingly, it is to the provision of such improved methods that the present invention
is primarily directed.
SUMMARY OF INVENTION
[0018] A composition and method has been developed for particular use in clinical drug evaluation
studies for tracking compliance of patients on prescription medications (therapeutic
agents) by using compliance markers (quantitative consumption markers) in association
with the medications, which consumption compliance marker concentrations can be accurately
measured in the urine. Upon a determination of the compliance marker concentration,
a correlation is made to the amount of actual medication ingested. Only a small number
of mathematical relationships need be determined between marker intake and urine output,
rather than developing unique relationships for each and every drug tested. Moreover,
quantitative relationships exist between the amount ingested and the amount appearing
in the urine as a function of physical parameters such as patient weight, lean body
mass, age, urine pH, urine specific gravity (which may be measured by a refractometer,
hydrometer or chemical methods).
[0019] This is especially useful in clinical trials of new; potentially useful medications.
[0020] It has now been discovered that pharmacologically inert quantities of weakly acidic
medications, specifically benzodiazepines, provide quantitative compliance markers
in association with therapeutic agents. The measurable benzodiazepines and their metabolites
readily pass through the renal system into the urine making benzodiazepines and substances
with similar properties especially suitable as compliance markers. Preferably a pharmacologically
inert quantity of a benzodiazepine, referred to as a "quantitative compliance marker,"
is added to each unit dose of therapeutic agent, i.e. medication, hormone or nutrient,
which quantitative compliance marker concentration can be measured in the urine. For
the purposes of this application, an inert substance shall include biologically inactive
substances which are non-metabolizable and pharmacologically insignificant amounts
of therapeutic drugs and their metabolites, which can still be detected in the urine
of a patient.
[0021] The quantitative compliance marker may be added to a medical formulation by being
mixed homogeneously throughout the formulation or solution, or as a film or coating
on a tablet or capsule containing the formulation. Additionally, the marker may be
introduced as particulates in a suspension. If more than one medication has been prescribed,
a separate quantitative compliance marker may be used in association with each medication.
Preferably the quantitative compliance markers have biological half-lives of between
24 and 48 hours so that they will appear in a urine sample long after ingestion. The
quantitative compliance markers are associated with therapeutic agents at a predetermined
proportion and preferably at a sufficiently small dosage to insure the absence of
psychotropic and physiological effects on the patient.
[0022] In the method of monitoring therapeutic agent consumption, random samples of a patient's
urine may be analyzed for the concentration of a quantitative compliance marker associated
with a therapeutic agent. The concentration of the quantitative compliance marker
then serves as the basis for both monitoring consumption compliance with the prescribed
therapeutic agent dosage and to establish the proper medication dosage.
[0023] In the method of monitoring therapeutic agent consumption, if appropriate, it is
first determined whether the urine sample is adulterated as by comparing urine pH,
specific gravity, and creatinine level with that of a normal urine sample and the
specific values previously determined for the patient. If found to be unadulterated,
and probably from the patient being monitored, the raw urine compliance marker concentration
is measured along with the urine specific gravity or urine osmolality.
[0024] once the actual concentration of the compliance marker in the sample is determined
(the raw urine compliance marker concentration), adjustments are made to account for
the affects of variations in certain urinary parameters upon this concentration, by
adjusting for the compounding effects of urine specific gravity. This is accomplished
by accounting for the difference between the measured specific gravity and a reference
specific gravity. An adjustment is also made to reflect a normalization to a constant
patient body weight such as 70 kg or 154 lbs. This final adjusted compliance marker
concentration is defined as the normalized urine compliance marker concentration.
[0025] The normalized urine compliance marker concentration value is then used to determine
whether the patient is compliant by comparing the value of the normalized compliance
marker concentration to an expected value, for the purpose of determining whether
there is any significant statistical variance between the two values. By obtaining
multiple urine samples from the patient, once or twice a week, it is possible to establish
an expected baseline normalized compliance marker concentration against which a current
or future value can be statistically compared. An expected baseline compliance marker
concentration for a patient is the mean normalized compliance marker concentration
from historical values obtained from the patient. This method of monitoring compliance
is dependent upon the assumption that the patient is initially compliant in order
to get the expected value. In the alternative, expected ranges of normalized compliance
marker concentrations for specific compliance marker dosages, may be used for comparison.
These ranges are based on a patient database independent of the subject patient.
[0026] A corresponding value for the actual medication dose ingested is then calculated
by multiplying the prescribed medication dose with the calculated normalized urine
compliance marker concentration, and dividing the product by the expected normalized
urine compliance marker concentration.
BRIEF DESCRIPTION OF DRAWINGS
[0027]
Fig. 1 is a graph of reverse urine creatinine excretion factor (RUCEF) versus urine
volume production rate factor (UVPRF) showing their substantially linear relationship.
Fig. 2 is a graph of urine volume production rate factor (UVPRF) versus specific gravity
factor (SGF) showing their substantially linear relationships.
Fig. 3 is a graph of urine production rate versus urine specific gravity factor (SGF)
using independent data and showing their substantially linear relationship.
Fig. 4 is a graph of urine production rate versus specific gravity ratio (1.030/urine
SG).
Fig. 5 is a graph of urine creatinine concentration versus urine production rate showing
the inverse relationship between urine creatinine and urine production rate, forming
a hyperbola.
Fig. 6 is a graph of urine volume production rate factor versus urine specific gravity
factor, showing a slope of one and a zero intercept and demonstrating their substantially
linear relationship.
Fig. 7 is a graph of normalized urine compliance marker concentration versus daily
compliance marker dose demonstrating their substantially linear relationship.
DETAILED DESCRIPTION
Specifics of Composition
[0028] A specified amount of the quantitative compliance marker benzodiazepine is added
to each unit dose of therapeutic agent, i.e. medication, hormone or nutrient, which
marker can be measured in the urine. For the purposes of this application, an inert
substance includes biologically inactive substances which are non-metabolizable, and
pharmacologically insignificant amounts of therapeutic drugs and their metabolites,
which can still be detected in the urine of a patient. Preferably the inert substances
are not normally found in urine and are not normally ingested as food or drink or
as a medicine. Also the inert substances are preferably weak acids so that they are
unaffected by urine pH and pass through the renal system without resorption. Additionally,
there are mathematical relationships between weak acids with pK (dissociation constants)
values less than 4, and their individual active and inactive metabolites.
[0029] Benzodiazepines, such as the alprazolam Xanax and the diazepam Valium, which are
normally prescribed as therapeutic agents for treatment of anxiety related conditions,
are especially suited as markers because their urinary excretion is not dependent
upon urine pH, as are weak bases, because they are completely ionized at the typical
urine pH range of 4.5-8.5. This insures complete clearance after glomerular filtration
in the kidneys, since these drugs are not absorbed or secreted in great quantities
by the renal tubules of the kidneys. For instance, Valium could serve as a marker
at a dosage range of 1-10mg a day, depending on the individual patient.
[0030] Advantageously, while the benzodiazepine family of medications are absorbed fully
by the digestive tract, being very lipophilic in neutralized form, they are not significantly
metabolized by the liver. Consequently, simple relationships exist between oral intake
and urine output, as corrected for patient weight and urine specific gravity. Moreover,
if the compounds are psychotropically and physiologically inactive at low doses, their
ingestion will not adversely affect the patient. Therefore it is preferable that pharmacologically
inert quantities of a benzodiazepine be used as a marker.
[0031] A benzodiazepine quantitative compliance marker may be added to a medical formulation
by being mixed homogeneously throughout the formulation or as a film or coating on
a tablet or capsule containing the formulation. Additionally, the marker may be mixed
in a solution or introduced as particulates in a suspension. If more than one medication
has been prescribed, a separate quantitative compliance marker may be used in association
with each medication. Preferably the markers have biological half-lives of between
24 and 48 hours so that they will appear in a urine sample long after ingestion.
[0032] A general example using this type of quantitative compliance marker, is the following:
[0033] A clinical examination shows that a patient needs to ingest three pills of medication
a day. If 0.5 mgs of a long-acting inactive metabolite of alprazolam or diazepam (having
plasma half-lives greater than 24 hours) is added to each pill as a compliance marker,
each compliant patient will have a specified and constant amount of the compliance
marker in each urine sample. The average amount measured, as normalized for urine
specific gravity, and a constant patient body weight, will be directly related to
the number of pills ingested, for instance 120 concentration units assuming each pill
contains 40 concentration units. Persons taking only 2 pills will have 80 concentration
units, and persons taking only 1 pill will have 40 concentration units. Having this
data, a pharmaceutical company can then create dose-response curves for the drug since
they will have patients taking different amounts of drugs due to variations in compliance.
[0034] A second general example is the following:
[0035] A quantitative compliance marker is used in a methadone concentrate at a constant
ratio, i.e., one compliance marker per ten methadone. Therefore the amount of methadone
ingested will be proportional to the amount of compliance marker taken. Consequently,
taking less or more methadone than prescribed will show up as less or more marker
in the urine, thus helping to eliminate diversion of a drug to a second individual
or supplementing of a patient's drug intake from another source. In this way a number
of distinct markers may be used to monitor the compliance of a variety of medications.
[0036] Other inert substances may also serve as markers in the following method of monitoring
consumption compliance with therapeutic agents. For example, the barbiturate phenobarbital
may be used as a compliance marker in conjunction with other prescribed medications,
providing the dosage of the compliance marker is low, and there is no drug cross-reactivity
with the prescribed medication or other medication that the patient is currently taking.
Specifics of Method
[0037] A patient is initially prescribed a medication and dose based on several factors.
These ordinarily include the severity and duration of illness, amounts and types of
medications previously used, current or previous physiological and/or physical dependence
upon other prescription or illicit drugs, previous medical history, patient sex, pregnancy
status, patient weight and ingestion of other therapeutic medications. Often medication
dose is adjusted upwardly until a patient no longer complains of residual signs and
symptoms of his or her psychiatric and/or medical illness, is no longer experiencing
withdrawal signs and symptoms if on a medication-replacement taper to abstinence program,
or loses his or her desire to use illicit medications if a substance abuse problem
exists. Medication dose is increased per published and accepted standard medical protocols
for each family of psychiatric and medical drug, usually "x" mg every few days. A
compliance marker is associated with the prescribed medication at a preestablished
ratio so that as the patient takes his/her prescription, he/she also takes a correlative
amount of the compliance marker.
Testing for Adulteration
[0038] In certain circumstances it may be appropriate to first test for adulteration of
urine samples. Such a circumstance may be appropriate in drug rehabilitation/addiction
treatment settings. If this is necessary, a supervised, spot sample of urine should
be first collected from a patient. The urine sample is collected by simply providing
the patient with a standard urine collection bottle into which he or she can urinate.
Alternatively, a sample can be collected by catheterization or withdrawn from a urine
collection bag. Only several milliliters of urine are required for analysis. With
this sampling method, it is not necessary to record the volume collected or completely
void the bladder. Loss of a portion of the sample is also not detrimental as long
as a sufficient sample remains for analysis.
[0039] Several properties of the urine are measured to evaluate whether the urine is adulterated,
adulteration being the altering by a patient of his or her urine in an effort to prevent
detection of illicit drug use or diversion of a drug. Adulteration typically is accomplished
by adding foreign substances to the urine such as salt, bleach, or vinegar. Many patients
attempt to dilute amount of drugs in the urine sample by drinking large quantities
of water or by adding water to the sample. Adulteration may also occur by substituting
another person's urine for the patient's own urine, including instillation of foreign
urine into the patient's bladder.
[0040] In checking for adulteration, urine pH is measured, as with the use of a pH Data
Logger type meter available from Oakton, to see if it is within the normally expected
pH range of 4.5 to 8.5. Urine specific gravity is also measured to see if it is within
the normal range of 1.004 to 1.035 units. A Digital Urinometer by Biovation may be
used for this test. Creatinine, an end product of glycine and arginine metabolism
excreted through the kidneys, is measured to evaluate renal function. The creatinine
level in human urine usually ranges from 8 to 500 mg/dl, the range being affected
by variables such as age, sex, diet, lifestyle and geographic location. Creatinine
levels generally are homeostatically maintained by the body at a constant value for
each individual patient over his or her lifetime. Creatinine levels may be determined
on many different analyzers, including a TDx REA Creatinine System available from
Abbott Laboratories. All of these tests are helpful in establishing normally expected
ranges for each patient and the overall population of patients.
[0041] Once pH, specific gravity, and creatinine level values for the spot urine sample
are obtained for a particular patient, comparisons can be made between the sample
in question and values previously measured (if already available) both for the patient
and for normals to ascertain whether the urine sample is adulterated. If no adulteration
is found, a data base is created or extended for the patient so that a basis of comparison
exists for future spot urine samples. Of the three measures, urinary creatinine level
is generally the most useful indicator as to whether the spot sample is that of the
patient or of someone else. If it is not necessary to test for adulteration of urine
samples, then random urine samples are simply obtained from the patient to be analyzed
in the following manner.
Measurement of Specific Gravity
[0042] Once a representative urine sample has been obtained, specific gravity (SG) is measured
for the urine at room temperature, (22-23 degree C) which typically ranges from 1.004
to 1.035 for normal urine. A Digital Urinometer by Biovation may be used for this
test. Occasionally, urine samples may exhibit artificially elevated specific gravity
values. This situation occurs whenever the urine contains a significant amount of
protein, such as in the nephrotic syndrome, and/or glucose, as in diabetes mellitus.
Occasionally, this can also occur when urinary cleared, radiopaque dyes are used for
diagnostic purposes.
Measuring Raw Urine Compliance Marker Concentration
[0043] The unadulterated sample is next analyzed for raw urine compliance marker concentration,
preferably using fluorescence polarization immunoassay (FPIA) technology. In this
regard an Abbott TDX or ADX Analyzer may be profitably employed. Other standard analytical
methods may also be used such as chromatography or other types of immunoassay. The
value, u, obtained is the raw urine compliance marker concentration expressed in ng/ml.
If appropriate, the value u includes the compliance marker metabolite concentration
in the urine as well. Metabolites are those substances which result from the body's
metabolism of the compliance marker.
[0044] The raw urine compliance marker concentration, u, is next converted to a normalized
urine compliance marker concentration, nu, as discussed below. A historical database
is then created for these values.
Calculating Normalized Urine Compliance Marker Concentration
[0045] Parameters of a patient's urine, such as pH and specific gravity, vary from one day
to the next dependent upon the type and quantities of foods and beverages ingested.
Additionally, individuals metabolize endogenous substances, as well as medications,
at different rates. Due to variations in these daily urine parameters, concentration
levels for creatinine, other endogenous compounds, and drug metabolites can vary over
time. Since many endogenous compounds and drugs are weak acids under normal conditions
of urine pH, significant tubular resorption does not occur and renal clearance is
primarily the result of glomerular filtration. For these compounds, the major variable
responsible for observed variations in urine metabolite and drug concentrations is
tubular resorption or excretion of free water. The kidneys regulate urine production
rates so to maintain normal blood pressure and blood osmolality. This property of
the kidneys is indicated by the urine specific gravity, a physical variable relating
to urinary solids and urine volume production rate. A mathematical relationship has
been discovered to exist between urine compliance marker concentrations and urine
specific gravity, which herein is given by the specific gravity normalized compliance
marker concentration, nu.
[0046] It is now realized that renal excretion rates (mg/dl) for drugs and urine metabolites
are relatively constant for any patient during a typical day. This constancy has now
been experimentally verified by examining the renal excretion rates of methadone,
benzodiazepines, other drugs and creatinine and other endogenous metabolites as a
function of urine volume production rate. For example, sequential, complete and timed
(1-8 hours holding periods) aliquots of urine for 12 compliant control subjects were
collected over 24 to 72 hour periods. For each urine aliquot, urine volume production
rate (ml/min), specific gravity and creatinine concentration (mg/dl) (as the tested
substance) were determined. Using this data, a dimensionless, linear relationship
was found to exist, that is the same for all patients, between a urine volume production
rate factor (UVPRF) and a reverse urine creatinine excretion factor (RUCEF). For each
individual, control, urine collection period, the UVPRF is defined by the ratio of
urine volume production rate for each urine aliquot collected, v, to the urine volume
production rate for the most concentrated sample in the collection period with a specific
gravity usually near 1.030 (ie that specific gravity of a normal urine sample at room
temperature, typical of a morning void ), v',

Similarly, in this example, RUCEF factor is defined by the ratio of the creatinine
concentration of the most concentrated urine aliquot with a specific gravity usually
near 1.030, u', to the creatinine concentration for each urine aliquot collected,
u,

This linear relationship is shown in Figure 1. The best fit linear regression line
is given by the expression,


where statistical evaluation results in an adjusted squared multiple R = 0.985, a
standard error of the estimate = 0.242, and a F-ratio = 4965.
[0047] Therefore, contrary to the traditional teachings of those skilled in the art, urine
drug and metabolite concentrations, u, are inversely related to the volume of urine
produced by the kidneys, v, clearly demonstrating that the product (u·v) is constant
at any particular time point and urine pH.
[0048] Since (u·v) at any time is a constant, steady-state value, it follows that from Equation
(4) some empirical mathematical relationship must exist between u and v such that
given an arbitrary urine volume production rate v' and an equivalent u' at a reference
point (a specific gravity of 1.030):

or upon rearrangement for u' gives,

where the products given in Equation (6) are those measured for a spot urine sample
collected with an actual specific gravity and a corrected specific gravity typical
of a morning void of 1.030.
[0049] Using controlled urine collections, a urine volume production rate v' of 0.44 ml/min
for persons with reasonably normal renal functions at a specific gravity of 1.030
was initially measured. A specific gravity factor is then calculated by the equation
(rsg - 1.000)/(msg - 1.000), where rsg is the reference specific gravity, which in
this case is equal to 1.030, and where msg is the measured specific gravity. The specific
gravity factor is an adjustment of the measured specific gravity value to account
for the difference between the measured specific gravity value and a reference specific
gravity value.
[0050] It has been found that a linear relationship exists between the urine volume production
rate factor and the specific gravity factor, (SGF) as shown in Figure 2 and given
as follows:

where the adjusted squared multiple R = 0.856, standard error of the estimate = 0.787,
F-ratio = 482.
[0051] Substituting Equation (7) into Equation (6) the specific gravity normalized creatinine
concentration, nu, (since we are testing for creatinine) is then calculated by adjusting
the actual urine creatinine concentration, u, for compounding effects of urine specific
gravity at 1.030:

wherein k
1 is a constant equal to 2.43 and k
2 is a constant equal to 1.43.
Refinement of the Normalized Urine Compliance Marker Equations
[0052] Independent data was gathered from 96 patients being followed in a renal disease
clinic. Data available from these patients included 24 hour urine volumes, urine specific
gravity, urine creatinine concentration, serum creatinine concentration, creatinine
clearances measured from 24 hour collections, presence of protein and glucose in urine,
urine osmolality, patient sex, age, lean body weight, total body weight, height and
diagnosis.
[0053] The independent data was first plotted by urine production rate (ml/min) versus various
mathematical formulations of urine specific gravity as illustrated in Figs. 3 and
4. Although several methods exist for plotting specific gravity on the x-axis, ie,
SG ratio=1.030/SG, SGF or even SG, the SGF relationship is preferable.
[0054] As a further example for demonstrating in greater detail the inverse relationship
between urine creatinine and urine volume production rate, urine creatinine concentration
was plotted against urine production rate revealing a hyperbola in Fig. 5.
[0055] Figure 6 plots the ratio v/v' using v' equal to 0.58 ml/min against SGF. Plotting
this data gives a slope of one and a zero intercept. Data gathered from normal subjects
supports this same conclusion.
[0056] These functions differ from functions described earlier in that v' is now equal to
0.58 and v is now equal to SGF ·v' as compared to previous formulations where v was
equal to (2.43 · SGF-1.43) · v', where v' equals 0.44. The refined normalized equation
may be expressed generally as follows (normalized to a specific gravity of 1.030):

[0057] The equation for nu (9) may be further normalized to adjust for a standard patient
body weight such as of 70 kg or 154 lbs. This normalized value for nu may be reflected
in the following equation:

where WGT is equal to patient body weight, and K is a constant equal in this case
to 154 lbs. It should be noted that this equation may be normalized to any reference
value for specific gravity or weight.
Comparison of nu Value With Established Values
[0058] The normalized urine compliance marker concentration is then compared to established
values for the patient. By obtaining multiple urine samples from a patient, once or
twice a week, it is possible to establish an expected normalized compliance marker
baseline against which a current or future value can be statistically compared. The
expected normalized compliance marker baseline is the mean normalized compliance marker
value from historical patient data. This method of monitoring compliance is dependent
upon the assumption that the patient is initially compliant in order to get the expected
value. In the alternative, expected ranges for normalized compliance marker concentrations
from independent patient databases may be used for comparison. If any difference between
calculated nu and expected nu is not explained by statistically acceptable deviation,
then the patient is not in compliance. The actual medication dosage ingested may then
be calculated as:

Specific Examples and Supporting Data Using Method
[0059] Several methadone patients were independently prescribed diazepam for anxiety disorders.
These patients were utilized to determine if it would be possible to compound a particular
"marker" chemical in a set ratio to methadone such that one could tell how many doses
of methadone each patient took. If the "marker" concentration in the urine satisfied
specified statistical requirements as to the concentration level measured, then one
would be sure that the patient did not ingest extra doses or divert methadone by not
taking the full dose. These experiments were designed as follows:
Experiment #1 Query
[0060] Does normalized urine concentration of compliance marker correlate with doses of
the underlying drug methadone given to patient?
Stages of Experiment #1
[0061]
1. A fixed diazepam/methadone hydrochloride mixture ratio was chosen (1 mg diazepam
per 15 mg methadone HCL). Methadone-marker solutions were prepared by adding sufficient
diazepam liquid (10 mg/ml concentrate) to methadone concentrate (50 mg/ml) so as to
manufacture unit samples containing either (4mg diazepam/70 mg methadone) or (8 mg
diazepam/120 mg methadone) such that the final volume (including water, color and
flavor) of each dose was 15 ml.
2. To insure compliance with protocol for this experiment, three rehabilitated and
compliant patients (each having been in methadone treatment for several years) were
chosen for this experiment. Two patients ingested methadone 30 mg p.o. every 12 hours
(half a bottle each time) and one patient ingested methadone 60 mg p.o. every 12 hours
(half a bottle each time). On a random basis, each patient was asked to provide an
observed urine sample for analysis prior to being given his or her daily dose. Each
patient came to the office at least twice a week to pick up medication, ingest half
their dose and be interviewed. Each experiment was conducted for a two month period.
During this period, the only sources of methadone and diazepam available were given
in the test site.
3. Diazepam was measured by FPIA normalized to a urine specific gravity of 1.030 and
a total body weight of 154 lbs:

4. Results.
| |
PRESCRIBED MEDICATION |
COMPLIANCE MARKER |
MEAN NU FOR COMPLIANCE MARKER |
| P-1 |
methadone 30mg p.o. q12h |
diazepam 2mg p.o. q12h |
500 (SD 90, CV 18%) |
| P-2 |
methadone 60mg p.o. q12h |
diazepam 4mg p.o. q12h |
1068 (SD 233, CV 22%) |
| P-3 |
methadone 30mg p.o. q12h |
diazepam 2mg p.o. q12h |
499 (SD 73, CV 15%) |
[0062] Expected ratio of marker P-1/marker P-3 should be 1.00; actual ratio observed was
1.00. Expected ratio of P-2/marker P-1 or P-3 should be 2.00; actual ratio was 2.13.
Experiment #2 Query
[0063] What happens if a patient were to ingest extra methadone from another source also
containing compliance marker?
Stages of Experiment #2
[0064] 1. For this experiment, patient P-3 was utilized. In order to simulate a patient
ingesting twice as much methadone (underlying drug) each day (also with compliance
marker), patient P-3 was given his standard methadone dose for several weeks prior
to and following a one week change in the amount of compliance marker (2 mg diazepam
per 15 mg methadone HCL) included in his normal 60 mg daily methadone dose so as to
simulate "double dosing." Included in the following chart are sequential nu diazepam
urine values for the pre-change period, simulation of "double dosing" and post-change
period.
| Date: |
marker status: |
nu diazepam: |
| 02-19-96 |
post-change |
534 ng/ml |
| 02-09-96 |
post-change |
482 |
| 02-02-96 |
post-change |
404 |
| 01-31-96 |
post-change |
591 |
| 01-26-96 |
double marker |
1163
marker returned to 1 mg/15 mg methadone |
| 01-22-96 |
double marker |
597 |
| 01-19-96 |
pre-change |
450
marker increased to 2 mg/15 mg methadone |
| 01-16-96 |
pre-change |
519 |
| 01-03-96 |
pre-change |
395 |
| 12-29-95 |
pre-change |
516 |
| 12-26-95 |
pre-change |
344 |
| 12-22-95 |
pre-change |
591 |
[0065] If the patient was "double dosing" one would expect to see (after about a week, since
the average half-life of the diazepam metabolites is about 48 hours) at the end of
a week, a compliance marker concentration about twice the baseline concentration.
Expected concentration would be about 1000 ng/ml, while concentration observed was
1163 ng/ml. Therefore, if this patient had been non-compliant and getting methadone
from another clinic, doctors would have been able to intervene.
Experiment #3 Query
[0066] What happens if a patient were to divert a portion of their daily doses?
Stages of Experiment #3
[0067] 1. For this experiment, patient P-2 was utilized. In order to simulate a patient
diverting half of her daily methadone (has take-homes with one clinic visit a week),
a protocol similar to experiment #2 was 'done except compliance marker was decreased
to 0.5 mg diazepam per 15 mg methadone HCL.
| Date: |
marker status: |
nu diazepam: |
| 02-09-96 |
post-change |
1019 ng/ml |
| 02-06-96 |
post-change |
1044 |
| 02-02-96 |
post-change |
1073 |
| 01-30-96 |
post-change |
1098 |
| 01-26-96 |
half marker |
445
increase marker to 1 mg/15 mg methadone |
| 01-23-96 |
half marker |
673 |
| 01-19-96 |
half marker |
997
decrease marker to 0.5 mg/15 mg methadone |
| 01-16-96 |
pre-change |
1044 |
| 01-12-96 |
pre-change |
978 |
| 01-09-95 |
pre-change |
1029 |
| 01-05-96 |
pre-change |
896 |
| 01-02-96 |
pre-change |
1210 |
[0068] If a patient were diverting half of their take-home doses, one would expect to see
a decrease in the compliance marker concentration of half after a week or so. This
is indeed what happened.
Experiment #4 Query
[0069] How to establish expected values for normalized urine compliance marker concentrations
?
Based on data gathered from over 50 patients observed over a four-year period, expected
ranges for several normalized urine compliance marker concentrations have been established.
For example, when diazepam is utilized as a compliance marker, the expected normalized
value for urine diazepam-like immunoreactivity is 125 ng/ml/mg diazepam marker ingested.
Statistical ranges for acceptable lows and highs have been established as being between
75 to 175 ng/ml/mg diazepam marker ingested. The linear correlation between normalized
urine compliance marker concentration and daily compliance marker dose is illustrated
in Fig. 7. Using preestablished data for normalized urine compliance marker concentration
will eliminate the need to establish historical data bases for each individual patient.
[0070] It thus is seen that methods and compositions are now provided for monitoring patients
who have been placed on medication maintenance programs or have been participants
in experimental drug programs. The method utilizes a compliance marker concentration
from evaluation of patient urine samples by FPIA to determine normalized urine compliance
marker concentrations. Normalized urine compliance marker concentration can then be
compared to an expected normalized urine compliance marker concentration. The actual
drug dose ingested may then be calculated to determine compliance with the prescribed
medication dose. The methods and compositions are clinically practical without high
laboratory testing cost, the invasiveness of withdrawing blood, and the added exposure
to medical professionals of patient blood having high probability of hepatitis and
HIV infection. Furthermore, the methods and compositions do not require multiple equations
to calculate normalized concentration values, or the consideration of numerous pharmacokinetics
variables for each medication being monitored.